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E-Learning Courses

E-learning courses can help you learn instructional design, online assessment strategies, multimedia content creation, and learner engagement techniques. You can build skills in creating interactive learning experiences, utilizing analytics to improve course effectiveness, and fostering community in virtual classrooms. Many courses introduce tools like Learning Management Systems (LMS), authoring software, and video editing applications, that support developing and delivering engaging online education.


More to explore:

Popular E-Learning Courses and Certifications


  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    228 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • S

    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Course · 1 - 3 Months

  • M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    C

    Coursera

    Machine Learning with Scikit-learn, PyTorch & Hugging Face

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Data Collection, Machine Learning Algorithms, Convolutional Neural Networks, Model Deployment, Transfer Learning, Hugging Face

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • T

    The State University of New York

    Launch Your Online Business

    Skills you'll gain: Branding, Marketing and Public Relations, Entrepreneurship, Content Creation, Video Production, Marketing, Copywriting, Business Modeling, Presentations, Customer Engagement, Value Propositions, E-Commerce, Web Design and Development, Photography, Persona Development, Competitive Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    879 reviews

    Beginner · Course · 1 - 4 Weeks

  • N
    G
    N
    G

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

1…131415…705

In summary, here are 10 of our most popular e-learning courses

  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
  • Deep Learning for Computer Vision: MathWorks
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
  • Foundations of AI and Machine Learning: Microsoft
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Launch Your Online Business: The State University of New York

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